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AI supply chain term

Process node (nm)

A process node is the generation of chipmaking technology — labeled in nanometers like 3nm or 2nm — that defines how small and dense a chip's transistors can be.

What it means

A process node names a foundry's manufacturing generation, historically tied to transistor feature size and now used more as a marketing label for a family of design rules. Moving to a smaller node — for example from 5nm to 3nm to 2nm — lets designers pack more transistors into the same area, which generally improves performance and energy efficiency. Leading-edge nodes are what AI accelerators, CPUs, and networking silicon are built on, so access to them is the front-end source of all advanced silicon. Only a few foundries can run the newest nodes, because each one requires the most advanced lithography, materials, and process control. That scarcity makes leading-edge node capacity a chokepoint: whoever controls it decides which AI chips get made and when.

Why it matters to investors

Leading-edge node capacity is dominated by a very short list of foundries and the equipment makers that supply them, which concentrates pricing power upstream. For the AI trade, node access determines who can actually ship the newest, most efficient accelerators — a company without an allocation is exposed no matter how good its design.

See Process node in the AI value chainIts live model score, why it matters, and every company exposed to it.

Companies on this part of the chain

Named to show where the term sits in the AI supply chain — research, not advice, and never a recommendation to buy or sell.

Related terms

See Process node in the live AI chain.

THE ENTITY maps every constraint onto one live model — which part is tight now, who owns it, and who gets squeezed when it moves. Plain-English reads you can check.

THE ENTITY is an educational read on the AI supply chain — research, not investment advice. It explains how the chain works and who sits where, never price targets or buy/sell calls.